Triple
T34705023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basilica of Our Lady of Consolation in Turek |
E1000477
|
entity |
| Predicate | isMarianSanctuary |
P107974
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Basilica of Our Lady of Consolation in Turek, isMarianSanctuary, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMarianSanctuary Context triple: [Basilica of Our Lady of Consolation in Turek, isMarianSanctuary, true]
-
A.
hasMarianDedication
chosen
Indicates that something (typically a church, chapel, or shrine) is dedicated to or in honor of the Virgin Mary.
-
B.
hasSanctuary
Indicates that one entity provides or serves as a place of refuge, protection, or safe haven for another entity.
-
C.
isLinkedToSanctuary
Indicates that an entity has a connection or association with a sanctuary, such as being related, directed, or assigned to it.
-
D.
hasOldSanctuary
Indicates that an entity possesses or is associated with an old or former sanctuary.
-
E.
hasMainSanctum
Indicates that an entity possesses a primary or central sacred space used for core religious or spiritual activities.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69f76dab937881909c86f1b9ad50445f |
completed | May 3, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f7805ce6208190ac6dbd9c97989978 |
completed | May 3, 2026, 5:05 p.m. |
| PD | Predicate disambiguation | batch_69f77956ec648190ba4fb7e9d83fd107 |
completed | May 3, 2026, 4:35 p.m. |
Created at: May 3, 2026, 3:59 p.m.